1 citations · 1 across the 1 of their papers we have counts for
4 papers
Expectation-Propagation for Bayesian Empirical Likelihood Inference
Kenyon Ng, Weichang Yu, Howard D. Bondell
Bayesian inference typically relies on specifying a parametric model that approximates the data-generating process. However, misspecified models can yield poor convergence rates an…
Gravitational wave inference of star cluster properties from intermediate-mass black hole mergers
Konstantinos Kritos, Luca Reali, Ken K. Y. Ng +2
Next-generation ground-based gravitational wave observatories will observe mergers of intermediate-mass black holes (IMBHs) out to high redshift. Such IMBHs can form through runawa…
Validating Prior-informed Fisher-matrix Analyses against GWTC Data
Ulyana Dupletsa, Jan Harms, Ken K. Y. Ng +3
Fisher-matrix methods are widely used to predict how accurately parameters can be estimated. Being computationally efficient, this approach is prompted by the large number of signa…
Probing minihalo lenses with diffracted gravitational waves
Mark Ho-Yeuk Cheung, Ken K. Y. Ng, Miguel Zumalacárregui +1
When gravitational waves pass near a gravitating object, they are deflected, or lensed. If the object is massive, such that the wavelength of the waves is small compared to its gra…